Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Optimization of the COD Removal Efficiency for a Static Granular Bed Reactor Treating Poultry Slaughterhouse Wastewater

Version 1 : Received: 2 February 2019 / Approved: 4 February 2019 / Online: 4 February 2019 (13:53:16 CET)

How to cite: Rinquest, Z.; Basitere, M.; Mewa-Ngongang, M.; Ntwampe, S.K.O.; Njoya, M. Optimization of the COD Removal Efficiency for a Static Granular Bed Reactor Treating Poultry Slaughterhouse Wastewater. Preprints 2019, 2019020036. https://doi.org/10.20944/preprints201902.0036.v1 Rinquest, Z.; Basitere, M.; Mewa-Ngongang, M.; Ntwampe, S.K.O.; Njoya, M. Optimization of the COD Removal Efficiency for a Static Granular Bed Reactor Treating Poultry Slaughterhouse Wastewater. Preprints 2019, 2019020036. https://doi.org/10.20944/preprints201902.0036.v1

Abstract

In this study, the efficiency of an anaerobic treatment system for wastewater from a South African poultry slaughterhouse was evaluated using a lab-scale static granular bed reactor (SGBR). The down-flow SGBR (2 L) was operated continuously for 138 days under mesophilic conditions (35-37 ˚C), at hydraulic retention times (HRTs) ranging from 24 to 96 h and average organic loading rates (OLRs) of 0.78 to 5.74 g COD/L.day. The SGBR achieved an average chemical oxygen demand (COD) removal efficiency of 80% and the maximum COD removal achieved was 95%, at an HRT of 24 h and average OLR of 5.74 g COD/L.day. The optimization of the SGBR, with regard to a suitable HRT and OLR, was determined using response surface methodology (RSM). The optimal SGBR performance with regard to the maximum COD removal efficiency was predicted for an OLR of 12.49 g COD/L.day and a HRT of 24 h, resulting in a 95.5% COD removal efficiency. The model R2 of 0.9638 indicated that the model is a good fit and is suitable to predict the COD removal efficiency for the SGBR.

Keywords

Anaerobic digestion; Chemical oxygen demand; Optimization; Poultry slaughterhouse wastewater; Response surface methodology; Static Granular Bed Reactor

Subject

Engineering, Other

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